Deep learning based on MRI for assessing the prognostic value of lateral lymph nodes in rectal cancer
The DL model effectively predicts positive LLNs, offering an efficient alternative to traditional methods and supporting preoperative decision-making. Its clinical implementation could enhance risk stratification and personalize therapeutic strategies for rectal cancer patients.
Authors
- Yanfen Cui (ORCID: https://orcid.org/0000-0001-6631-5687)
- Zhenhui Li (ORCID: https://orcid.org/0000-0001-5703-0874)
- Hao Jiang (ORCID: https://orcid.org/0000-0003-4844-4455)
- Jie Zhao (ORCID: https://orcid.org/0000-0003-1168-8384)
- Lili Feng (ORCID: https://orcid.org/0000-0001-9459-6594)
- Yulin Liu (ORCID: https://orcid.org/0000-0003-3532-1878)
- Huijie Jiang (ORCID: https://orcid.org/0000-0002-8356-9643)
- Qiong Wu (ORCID: https://orcid.org/0000-0003-2460-8558)
- Ke Zhao
- Ge Qiao
Institutions
- Harbin Medical University (CN)
- Sun Yat-sen University (CN)
- Kunming Medical University (CN)
- Sixth Affiliated Hospital of Sun Yat-sen University (CN)
- Shanxi Provincial Cancer Hospital (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
- Sun Yat-sen University Cancer Center (CN)
- Guangdong Provincial People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-11-11
- DOI
- https://doi.org/10.3389/fonc.2025.1681939
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China